Publications

• K. Biswas, H. Salman and N. Brenner, “Emergent Homeostasis and Degeneracy From Multi‐Dimensional Attractors”, BioEssays 48, e70116 (2026).
• R. Fachareldeen and N. Brenner, “Evolution on degenerate fitness landscapes is not neutral: curvature drives directional bias‏”, bioarxiv (2026).
• R. Teichner, R. Meir and N. Brenner, “Autonomous Discovery of Physical Laws via Adversarial Surrogates: Rediscovering Kepler’s Laws from Observational Data,” Proceedings of the 7th International Conference on Intelligent Autonomous Systems (ICoIAS), Osaka, Japan, 139-145 (2025)
• R. Teichner, N. Brenner and R. Meir, “Identifying dynamic regulation with machine learning using adversarial surrogates”, PLoS One 20(6), e0325443, (2025)
• L. Albantakis, C. Bernard, N. Brenner, E. Marder and R. Narayanan . “The Brain’s Best Kept Secret Is Its Degenerate Structure”, The Journal of Neuroscience, 44(40), e1339242024,(2024)
• K. Biswas, N. Brenner and H. Salman, “Single-cell Growth Rate Variability in Balanced Exponential Growth”, preprint (2024).
• K.i Biswas and N. Brenner, “Universality of phenotypic distributions in bacteria”, Phys. Rev. Res. 6, L022043 (2024).
• R. Teichner, A. Shomar, O. Barak, N. Brenner, S. Marom, R. Meir and D. Eytan, “Identifying Regulation with Adversarial Surrogates”. PNAS (2023).
• L. Geyrhofer, P. Ruelens, A.D. Farr, D. Pesce, J. Arjan G.M. de Visser and N. Brenner, “Minimal Survivng Inoculum in Collective Antibiotic Resistance”. mbio Vol. 14, No. 2 (2023).
• K. Biswas and N. Brenner, “Cell-division time statistics from stochastic exponential threshold-crossing”. bioRxiv (2022).
• A. Shomar, O. Barak and N. Brenner, “Cancer progression as a learning process”. iScience 25, 103924 (2022).
• A. Stawsky, H. Vashistha, H. Salman and N. Brenner, “Multiple timescales in bacterial growth homeostasis”. iScience 25, 103678 (2022).
• L. Susman, F. Mastrogiuseppe, N. Brenner and O. Barak, “Quality of internal representation shapes learning performance in feedback neural networks”. Physical Review Research, 3(1), 013176 (2021).
• L. Geyrhofer and N. Brenner, “Coexistence and cooperation in structured habitats.” BMC ecology 20, 1-15 (2020).
• A. Shomar, O. Barak, and N. Brenner. “Local and global features of genetic networks supporting a phenotypic switch.” Plos one 15(9) (2020): e0238433.
• A. Rivkind, H. Schreier, N. Brenner and O. Barak, “Scale free topology as an effective feedback system”. PLoS Comp. Biol. 16, e1007825 (2020).
• U. Gordon, S. Marom and N. Brenner, ”Visual detection of time-varying signals: opposing biases and their timescales”. PLoS One 14, 11 (2019).
• L. Susman, N. Brenner and O. Barak, “Stable memory with unstable synapses”. Nature Communications 10, 4441 (2019).
• E. Braun and N. Brenner, “Can specific tuning of single-gene expression be deduced from a local measurement of that gene alone?”, Academia (2018).
• L. Susman, M. Korham, H. Vashistha, J. T. Nechleba, H. Salman and N. Brenner, “Individuality and slow dynamics in bacterial growth homeostasis”, Proc Natl Acad Sci 115(25):E5679-E5687 (2018).
• N. Ziv and N. Brenner, “Synaptic tenacity or lack thereof”, Trends in Neurosci. 41(2):89-99 (2018).
• A. Shomar, L. Geyrhofer, N. Ziv and N. Brenner, “Cooperative stochastic binding and unbinding explain synaptic size dynamics and statistics”, PLoS Comput Biol 13(7): e1005668 (2017)
• H. Schreier, Y. Soen and N. Brenner, “Exploratory adaptation in Large Random Networks”. Nature Comm. 8, 14826 (2017).
• H. Behar, N. Brenner, G. Ariel and Y. Louzoun, “Fluctuations induced coexistence in public goods dynamics”, Phys. Biol. 13, 056006 (2016).
• N. Brenner, E. Braun, A. Yoney, L. Susman, J. Rotella and H. Salman, Single-cell protein dynamics reproduce universal fluctuations in cell populations, Eur. Phys. J. E 38, 102 (2015).
• N. Brenner, C.M. Newman, D. Osmanovic, Y. Rabin, H. Salman and D.L. Stein, Universal protein distributions in a model of cell growth and division. Phys. Rev. E (2015).
• H. Behar, N. Brenner and Y. Louzoun, “Coexistence by Spatiotemporal patterns in a cooperation problem”. Theoret. Pop. Biol. 96, 20-29 (2014).
• A. Statman, M. Kaufman, A. Minerbi, N. Ziv and N. Brenner, “Synaptic size dyanmics as an effective stochastic process”, PLoS Comp. Biol. 10, e1003846 (2014).
• Y. Elhanati and N. Brenner, “Metabolic variability in micro-populations”. PLoS ONE 7, e52105 (2012).
• H. Salman, N. Brenner, Ch-K. Tung, N. Elyahu, E. Stolovicki, L. Moore, A. Libchaber and E. Braun, “Universal protein fluctuations in microorganism populations. Phys. Rev. Lett. 108, 238105 (2012).
• E. Filiba, D. Lewin and N. Brenner. “Transients and tradeoffs: phenotypic switching in a fluctuating limiting environment”. In press, Theor. Pop. Biol. (2012).
• Y. Elhanati, S. Schuster and N. Brenner, “Dynamic modeling of cooperative protein secretion in microorganism populations”. Theor. Pop. Biol. 80, 49-63 (2011).
• T. Friedlander and N. Brenner, “Adaptive response and enlargement of dynamic range”. Mathematical Biosciences and Engineering 8, 515-528 (2011).
• S. Schuster, A. Schroeter, N. Brenner, F. Wessely, G. Theissen, E. Ruppin and J.U. Kreft. “Cooperation and cheating in exoenzyme production by microorganisms – theoretical analysis in view of biotechnological applications”. Biotech. J. 5, 751-758 (2010).
• T. Friedlander and N. Brenner, “Adaptive response by state-dependent inactivation”. PNAS 106, 22558-22563 (2009).
• T. Friedlander and N. Brenner, “Cellular properties and asymptotics in the population balance equation”, Phys. Rev. Lett. 101, 018104 (2008).
• N. Brenner and Y. Shokef, “Non-equilibrium statistical mechanics of dividing cell populations”, Phys. Rev. Lett. 99, 138102-1 – 138102-4 (2007).
• S. Stern, T. Dror, E. Stolovicki, N. Brenner and E. Braun, “Genome-wide transcriptional plasticity underlies cellular adaptation to novel challenge”, Mol. Sys. Biol. 3, article #106 (2007). See also News and Views by E.V. Koonin, Mol. Sys. Biol. 3, article #107 (2007).
• N. Brenner, K. Farkash and E. Braun, “Dynamics of protein distributions in cell populations”, Phys. Biol. 3, 172-182 (2006).
• E. Stolovicki, T. Dror, N. Brenner and E. Braun, “Synthetic gene-recruitment reveals adaptive reprogramming of gene regulation in yeast”, Genetics 173, 75-85 (2006).
• G. Gilboa, R. Chen and N. Brenner, “History dependent multiple time scale dynamics in a single neuron model”, J. Neurosci. 25, 6479-6489 (2005).
• E. Braun and N. Brenner, “Transient responses and adaptation to steady state in a eukaryotic gene regulation system”, Phys. Biol. 1, 67-76 (2004).
• D. Eytan, N. Brenner, S. Marom, “Selective adaptation in networks of cortical neurons”, J. Neurosci. 23, 9349-9356 (2003).
• N. Brenner, O. Agam, W. Bialek, R. de Ruyter van Steveninck, “Statistical properties of spike trains: universal and stimulus-dependent aspects”, Phys. Rev. E 66, 031907-1 – 031907-14 (2002).
• E. Schneidman, N. Brenner, N. Tishby, R. de Ruyter van Steveninck, W. Bialek, “Universality and individuality in a neural code”, NIPS (2001).
• N. Brenner, S.P. Strong, R. Koberle, W. Bialek, R. de Ruyter van Steveninck, “Synergy in a neural code”, Neur. Comp. 12, 1531-1552 (2000).
• N. Brenner, W. Bialek, R. de Ruyter van Steveninck, “Adaptive rescaling optimizes information transmission”, Neuron 26, 695-701 (2000).
• N. Brenner, O. Agam, W. Bialek, R. de Ruyter van Steveninck, “Universal statistical properties of neural spike trains”, Phys. Rev. Lett. 81, 4000-4003 (1998).